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A semiautomatic algorithm for rutherford backscattering analysis

✍ Scribed by Lawrence R. Doolittle

Book ID
113277692
Publisher
Elsevier Science
Year
1986
Tongue
English
Weight
440 KB
Volume
15
Category
Article
ISSN
0168-583X

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✦ Synopsis

Nonlinear
least squares techniques have been applied to Rutherford backscattering spectrometry (RBS). allowing routine n,ultivariable fits of simulated spectra to experimental data. Once a qualitatively correct simulation is made, this algorithm varies p~ameters of the simulation to obtain quantitative results. Optimization is done according to a maximum likelihood cm-squared definition, so that the best fit values of parameters and their uncertainties can be determined. Convergence of the algorithm is rapid fl ,r practical problems, allowing a typical four-variable fit to be accomplished in 30 seconds on a VAX 11/750. This algorithm allows c.mfident treatment of spectra which might otherwise be considered too complex. An implementation of the algorithm is incorporated a, part of an RBS analysis and simulation package, making it readily available for routine RBS analysis.

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